Top 0 Oil and Gas Software Companies $100M+ Revenue (August 2026)
As of August 2026, Latka tracks 0 oil and gas software companies with $100M+ in annual revenue.
Every company below sells oil and gas software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
What Oil and Gas Software Companies do
Oil and Gas Software refers to the specialized software solutions designed to meet the specific operational needs and challenges of the oil and gas industry. This category encompasses a wide range of applications that support key functions such as exploration, production management, drilling operations, asset management, reservoir modeling, and supply chain logistics. By automating and optimizing complex workflows, these software solutions help organizations enhance efficiency, reduce operational costs, and improve decision-making processes. The primary users of Oil and Gas Software include companies involved in upstream, midstream, and downstream operations, as well as service providers supporting these sectors. Key buyer personas typically include operations managers, engineers, geologists, IT professionals, and project managers, all of whom rely on these tools to improve productivity and safety. Additionally, advancements such as AI and data analytics are becoming increasingly integrated into these solutions to provide deeper insights and predictive capabilities, further transforming how companies operate within this capital-intensive industry.
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Top Oil and Gas Software Companies $100M+ Revenue
Showing 0 of 0 companies ranked by annual revenue.
Related Vertical Industry Software categories
Inclusion Criteria
- Must provide software solutions specifically for the oil and gas industry. - Should support key workflows in exploration, production, or drilling operations. - Must enable asset management and optimize supply chain logistics. - Should incorporate features for data analysis and predictive analytics. - Not just a general-purpose enterprise resource planning tool; must also cater to the unique needs of oil and gas operations.